Color image compression using mutual spectral information

Emilia Lavi-Burlak; Moshe Porat

doi:10.1109/EEEI.2006.321146

Color image compression using mutual spectral information

Emilia Lavi-Burlak^*, Moshe Porat

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Most image compression algorithms tend to decorrelate the RGB color components as part of the compression process. Nevertheless, the high correlation between color components could be helpful if mutual spectral information is exploited in the compression process. In this paper we introduce a new approach to color image compression that increases and exploits the high mutual spectral information of RGB components to improve the results' quality. Simulation results are presented and discussed. Our conclusion is that higher correlation between color components could contribute to improved image compression and be superior to the common approach of decorrelated image components.

Original language	English
Title of host publication	2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI
Pages	208-212
Number of pages	5
DOIs	https://doi.org/10.1109/EEEI.2006.321146
State	Published - 2006
Externally published	Yes
Event	2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI - Eilat, Israel Duration: 15 Nov 2006 → 17 Nov 2006

Publication series

Name	IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings

Conference

Conference	2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI
Country/Territory	Israel
City	Eilat
Period	15/11/06 → 17/11/06

Access to Document

10.1109/EEEI.2006.321146

Cite this

@inproceedings{073a406c74ae46049406e4796ba3ed74,

title = "Color image compression using mutual spectral information",

abstract = "Most image compression algorithms tend to decorrelate the RGB color components as part of the compression process. Nevertheless, the high correlation between color components could be helpful if mutual spectral information is exploited in the compression process. In this paper we introduce a new approach to color image compression that increases and exploits the high mutual spectral information of RGB components to improve the results' quality. Simulation results are presented and discussed. Our conclusion is that higher correlation between color components could contribute to improved image compression and be superior to the common approach of decorrelated image components.",

author = "Emilia Lavi-Burlak and Moshe Porat",

year = "2006",

doi = "10.1109/EEEI.2006.321146",

language = "אנגלית",

isbn = "1424402301",

series = "IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings",

pages = "208--212",

booktitle = "2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI",

note = "2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI ; Conference date: 15-11-2006 Through 17-11-2006",

}

Lavi-Burlak, E & Porat, M 2006, Color image compression using mutual spectral information. in 2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI., 4115280, IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings, pp. 208-212, 2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI, Eilat, Israel, 15/11/06. https://doi.org/10.1109/EEEI.2006.321146

Color image compression using mutual spectral information. / Lavi-Burlak, Emilia; Porat, Moshe.
2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI. 2006. p. 208-212 4115280 (IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Most image compression algorithms tend to decorrelate the RGB color components as part of the compression process. Nevertheless, the high correlation between color components could be helpful if mutual spectral information is exploited in the compression process. In this paper we introduce a new approach to color image compression that increases and exploits the high mutual spectral information of RGB components to improve the results' quality. Simulation results are presented and discussed. Our conclusion is that higher correlation between color components could contribute to improved image compression and be superior to the common approach of decorrelated image components.

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Color image compression using mutual spectral information

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